Identification of Hammerstein Models Concerning General Disturbances

摘要：

The linear dynamic Hammerstein model presents some static nonlinearity. The predominant method to estimate the components of this model is to minimize the error between the simulated and measured outputs. Taking the Gaussian input signals into account, we can estimate the linear part of the Hammerstein model by using the Buss gang’s classic theory. Accordingly, considering the case in point with the general disturbances, we come up with the maximum likelihood methodology.

关键词： system identification nonlinear system Buss gang’s theorem Maximum Likelihood method

作者: LU Changlong QIU Ping

作者单位: School of Mechanical and Electronic Engineering, Jingdezhen Ceramic Institute,Jingdezhen ,China 3334 Department of Foreign Languages, Jingdezhen Ceramic Institute,Jingdezhen ,China 333403

会议类型: 国际会议

会议名称: The 31st Chinese Control Conference(第三十一届中国控制会议)

会议地点: 合肥

会议语种:英文

页码: 3099-3105

在线出版日期: 2012-07-01（万方平台首次上网日期，不代表论文的发表时间）